Transcribe Media: Open-Source Skill for YouTube, Podcast & Local Audio/Video
Transcribe Media is an open-source OpenClaw skill designed to pull text from YouTube videos, podcast episodes, public media links, and local audio or video files. It first attempts to grab existing captions or official transcripts, and only falls back to transcription when none are available. The resulting text can feed into summaries, content-based questions, fact extraction, quotes, topics, and action items.
How It Works
The skill prioritizes existing captions or transcripts, which saves time and tokens. If none exist, it transcribes the media. Supported local formats include MP3, MP4, WAV, M4A, WebM, and others.
Key Details
- Remote transcription requires explicit approval — the skill will not process remote media without user consent.
- VoiceFlow deletes uploaded media after transcription completes — no lingering copies.
- Cleanup guarantee: In case of interrupted cleanup, a private-storage lifecycle policy removes files within 2–3 days.
Where to Get It
The skill is available on both ClawHub and GitHub:
- ClawHub: https://clawhub.ai/niuzb/skills/transcribe-media
- GitHub: https://github.com/niuzb/transcribe-media
This is a practical utility for OpenClaw users who regularly work with media content and need structured text for analysis or note-taking.
📖 Read the full source: r/openclaw
👀 See Also
LetMeWatch: Python Plugin Adds Video Analysis to Claude via FFmpeg Scene Detection
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Pair Programmer Plugin Adds Live Screen, Voice, and Audio Context to Claude Code
A developer has built a plugin called Pair Programmer that gives Claude Code real-time desktop perception by capturing screen, microphone, and system audio streams. The architecture uses specialized agents running in parallel for different input types, with indexing currently handled by cloud models but designed to be model-agnostic.